push

app.py

@@ -1,63 +1,525 @@
-import gradio as gr
+
 from huggingface_hub import InferenceClient
+import requests
+from bs4 import BeautifulSoup
+import lxml
+import gradio as gr
+import os
+# Initialize the InferenceClient
+client = InferenceClient(token=os.getenv("HF_TOKEN"))
+secretkey = os.getenv("FMP_KEY")
+
+# BOT avatar for chat interface
+BOT_AVATAR = 'https://automatedstockmining.org/wp-content/uploads/2024/09/logo.webp'
+
+# API Documentation (placed outside the function)
+data = '''
+# Stock List API
+stock_list_api = f"https://financialmodelingprep.com/api/v3/stock/list?apikey={secretkey}"
+
+# Exchange Traded Fund Search API
+etf_search_api = f"https://financialmodelingprep.com/api/v3/etf/list?apikey={secretkey}"
+
+# Statement Symbols List API
+statement_symbols_list_api = f"https://financialmodelingprep.com/api/v3/financial-statement-symbol-lists?apikey={secretkey}"
+
+# Tradable Search API
+tradable_search_api = f"https://financialmodelingprep.com/api/v3/available-traded/list?apikey={secretkey}"
+
+# Commitment of Traders Report API
+commitment_of_traders_report_api = f"https://financialmodelingprep.com/api/v4/commitment_of_traders_report/list?apikey={secretkey}"
+
+# CIK List API
+cik_list_api = f"https://financialmodelingprep.com/api/v3/cik_list?apikey={secretkey}"
+
+# Euronext Symbols API
+euronext_symbols_api = f"https://financialmodelingprep.com/api/v3/symbol/available-euronext?apikey={secretkey}"
+
+# Symbol Changes API
+symbol_changes_api = f"https://financialmodelingprep.com/api/v4/symbol_change?apikey={secretkey}"
+
+# Exchange Symbols API
+exchange_symbols_api = f"https://financialmodelingprep.com/api/v3/symbol/{exchange}?apikey={secretkey}"
+
+# Available Indexes API
+available_indexes_api = f"https://financialmodelingprep.com/api/v3/symbol/available-indexes?apikey={secretkey}"
+
+# Company Profile API
+company_profile_api = f"https://financialmodelingprep.com/api/v3/profile/{symbol}?apikey={secretkey}"
+
+# Executive Compensation API
+executive_compensation_api = f"https://financialmodelingprep.com/api/v4/governance/executive_compensation?symbol={symbol}&apikey={secretkey}"
+
+# Compensation Benchmark API
+compensation_benchmark_api = f"https://financialmodelingprep.com/api/v4/executive-compensation-benchmark?year={year}&apikey={secretkey}"
+
+# Company Notes API
+company_notes_api = f"https://financialmodelingprep.com/api/v4/company-notes?symbol={symbol}&apikey={secretkey}"
+
+# Historical Employee API
+historical_employee_api = f"https://financialmodelingprep.com/api/v4/historical/employee_count?symbol={symbol}&apikey={secretkey}"
+
+# Employee Count API
+employee_count_api = f"https://financialmodelingprep.com/api/v4/employee_count?symbol={symbol}&apikey={secretkey}"
+
+# Screener (Stock) API
+stock_screener_api = f"https://financialmodelingprep.com/api/v3/stock-screener?apikey={secretkey}"
+
+# Stock Grade API
+stock_grade_api = f"https://financialmodelingprep.com/api/v3/grade/{symbol}?apikey={secretkey}"
+
+# Executives API
+executives_api = f"https://financialmodelingprep.com/api/v3/key-executives/{symbol}?apikey={secretkey}"
+
+# Company Core Information Summary API
+company_core_info_summary_api = f"https://financialmodelingprep.com/api/v4/company-core-information?symbol={symbol}&apikey={secretkey}"
+
+# Market Cap API
+market_cap_api = f"https://financialmodelingprep.com/api/v3/market-capitalization/{symbol}?apikey={secretkey}"
+
+# Historical Market Cap API
+historical_market_cap_api = f"https://financialmodelingprep.com/api/v3/historical-market-capitalization/{symbol}?limit={limit}&from={start_date}&to={end_date}&apikey={secretkey}"
+
+# All Countries API
+all_countries_api = f"https://financialmodelingprep.com/api/v3/get-all-countries?apikey={secretkey}"
+
+# Analyst Estimates API
+analyst_estimates_api = f"https://financialmodelingprep.com/api/v3/analyst-estimates/{symbol}?apikey={secretkey}"
+
+# Analyst Recommendation API
+analyst_recommendation_api = f"https://financialmodelingprep.com/api/v3/analyst-stock-recommendations/{symbol}?apikey={secretkey}"
+
+# Company Logo API
+company_logo_api = f"https://financialmodelingprep.com/image-stock/{symbol}.png?apikey={secretkey}"
+
+# Company Outlook API
+company_outlook_api = f"https://financialmodelingprep.com/api/v4/company-outlook?symbol={symbol}&apikey={secretkey}"
+
+# Stock Peers API
+stock_peers_api = f"https://financialmodelingprep.com/api/v4/stock_peers?symbol={symbol}&apikey={secretkey}"
+
+# Holidays and Trading Hours API
+market_open_api = f"https://financialmodelingprep.com/api/v3/is-the-market-open?exchange={exchange}&apikey={secretkey}"
+
+# All Exchanges Trading Hours API
+all_exchanges_trading_hours_api = f"https://financialmodelingprep.com/api/v3/is-the-market-open-all?apikey={secretkey}"
+
+# Delisted Companies API
+delisted_companies_api = f"https://financialmodelingprep.com/api/v3/delisted-companies?apikey={secretkey}"
+
+# Company Share Float API
+company_share_float_api = f"https://financialmodelingprep.com/api/v4/shares_float?symbol={symbol}&apikey={secretkey}"
+
+# Historical Share Float API
+historical_share_float_api = f"https://financialmodelingprep.com/api/v4/historical/shares_float?symbol={symbol}&apikey={secretkey}"
+
+# All Shares Float API
+all_shares_float_api = f"https://financialmodelingprep.com/api/v4/shares_float/all?apikey={secretkey}"
+
+# All Available Sectors API
+available_sectors_api = f"https://financialmodelingprep.com/api/v3/sectors-list?apikey={secretkey}"
+
+# All Available Industries API
+available_industries_api = f"https://financialmodelingprep.com/api/v3/industries-list?apikey={secretkey}"
+
+# All Available Exchanges API
+available_exchanges_api = f"https://financialmodelingprep.com/api/v3/exchanges-list?apikey={secretkey}"
+
+# Full Quote API
+full_quote_api = f"https://financialmodelingprep.com/api/v3/quote/{symbol}?apikey={secretkey}"
+
+# Quote Order API
+quote_order_api = f"https://financialmodelingprep.com/api/v3/quote-order/{symbol}?apikey={secretkey}"
+
+# Simple Quote API
+simple_quote_api = f"https://financialmodelingprep.com/api/v3/quote-short/{symbol}?apikey={secretkey}"
+
+# OTC Quote API
+otc_quote_api = f"https://financialmodelingprep.com/api/v3/otc/real-time-price/{symbol}?apikey={secretkey}"
+
+# Exchange Prices API
+exchange_prices_api = f"https://financialmodelingprep.com/api/v3/quotes/{exchange}?apikey={secretkey}"
+
+# Stock Price Change API
+stock_price_change_api = f"https://financialmodelingprep.com/api/v3/stock-price-change/{symbol}?apikey={secretkey}"
+
+# Aftermarket Trade API
+aftermarket_trade_api = f"https://financialmodelingprep.com/api/v4/pre-post-market-trade/{symbol}?apikey={secretkey}"
+
+# Aftermarket Quote API
+aftermarket_quote_api = f"https://financialmodelingprep.com/api/v4/pre-post-market/{symbol}?apikey={secretkey}"
+
+# Batch Quote API
+batch_quote_api = f"https://financialmodelingprep.com/api/v4/batch-pre-post-market/{symbol}?apikey={secretkey}"
+
+# Batch Trade API
+batch_trade_api = f"https://financialmodelingprep.com/api/v4/batch-pre-post-market-trade/{symbol}?apikey={secretkey}"
+
+# Last Forex API
+last_forex_api = f"https://financialmodelingprep.com/api/v4/forex/last/{symbol}?apikey={secretkey}"
+
+
+
+
+# Live Full Price w/ Orders API
+live_full_price_api = f"https://financialmodelingprep.com/api/v3/stock/full/real-time-price/{symbol}?apikey={secretkey}"
+
+# All Live Full Price w/ Orders API
+all_live_full_price_api = f"https://financialmodelingprep.com/api/v3/stock/full/real-time-price?apikey={secretkey}"
+
+# Forex Prices API
+forex_prices_api = f"https://financialmodelingprep.com/api/v3/fx/{symbol}?apikey={secretkey}"
+
+# Ratios API
+ratios_api = f"https://financialmodelingprep.com/api/v3/ratios/{symbol}?period={period}&apikey={secretkey}"
+
+# Ratios TTM API
+ratios_ttm_api = f"https://financialmodelingprep.com/api/v3/ratios-ttm/{symbol}?apikey={secretkey}"
+
+# Cashflow Growth API
+cashflow_growth_api = f"https://financialmodelingprep.com/api/v3/cash-flow-statement-growth/{symbol}?period={period}&apikey={secretkey}"
+
+# Income Growth API
+income_growth_api = f"https://financialmodelingprep.com/api/v3/income-statement-growth/{symbol}?period={period}&apikey={secretkey}"
+
+# Balance Sheet Growth API
+balance_sheet_growth_api = f"https://financialmodelingprep.com/api/v3/balance-sheet-statement-growth/{symbol}?period={period}&apikey={secretkey}"
+
+# Financial Growth API
+financial_growth_api = f"https://financialmodelingprep.com/api/v3/financial-growth/{symbol}?period={period}&apikey={secretkey}"
+
+# Financial Score API
+financial_score_api = f"https://financialmodelingprep.com/api/v4/score?symbol={symbol}&apikey={secretkey}"
+
+# Owner Earnings API
+owner_earnings_api = f"https://financialmodelingprep.com/api/v4/owner_earnings?symbol={symbol}&apikey={secretkey}"
+
+# Enterprise Values API
+enterprise_values_api = f"https://financialmodelingprep.com/api/v3/enterprise-values/{symbol}/?period={period}&apikey={secretkey}"
+
+# Discounted Cashflow API
+discounted_cashflow_api = f"https://financialmodelingprep.com/api/v3/discounted-cash-flow/{symbol}?apikey={secretkey}"
+
+# Advanced DCF API
+advanced_dcf_api = f"https://financialmodelingprep.com/api/v4/advanced_discounted_cash_flow?symbol={symbol}&apikey={secretkey}"
+
+# Levered DCF API
+levered_dcf_api = f"https://financialmodelingprep.com/api/v4/advanced_levered_discounted_cash_flow?symbol={symbol}&apikey={secretkey}"
+
+# Company Rating API
+company_rating_api = f"https://financialmodelingprep.com/api/v3/rating/{symbol}?apikey={secretkey}"
+
+# FMP Articles API
+fmp_articles_api = f"https://financialmodelingprep.com/api/v3/fmp/articles?page={page}&size={size}&apikey={secretkey}"
+
+# General News API
+general_news_api = f"https://financialmodelingprep.com/api/v4/general_news?page={page}&apikey={secretkey}"
+
+
+# Stock News Sentiments RSS Feed API
+stock_news_sentiments_rss_api = f"https://financialmodelingprep.com/api/v4/stock-news-sentiments-rss-feed?page={page}&apikey={secretkey}"
+
+# Forex News API
+forex_news_api = f"https://financialmodelingprep.com/api/v4/forex_news?page={page}&apikey={secretkey}"
+
+# Crypto News API
+crypto_news_api = f"https://financialmodelingprep.com/api/v4/crypto_news?page={page}&apikey={secretkey}"
+
+# Press Releases API
+press_releases_api = f"https://financialmodelingprep.com/api/v3/press-releases?page={page}&apikey={secretkey}"
+
+# Press Releases By Symbol API
+press_releases_by_symbol_api = f"https://financialmodelingprep.com/api/v3/press-releases/{symbol}?apikey={secretkey}"
+
+# Historical Social Sentiment API
+historical_social_sentiment_api = f"https://financialmodelingprep.com/api/v4/historical/social-sentiment?symbol={symbol}&page={page}&apikey={secretkey}"
+
+# Trending Social Sentiment API
+trending_social_sentiment_api = f"https://financialmodelingprep.com/api/v4/social-sentiments/trending?type={type}&source={source}&apikey={secretkey}"
+
+# Social Sentiment Changes API
+social_sentiment_changes_api = f"https://financialmodelingprep.com/api/v4/social-sentiments/change?type={type}&source={source}&apikey={secretkey}"
+
+# Earnings Transcript API
+earnings_transcript_api = f"https://financialmodelingprep.com/api/v3/earning_call_transcript/{symbol}?year={year}&quarter={quarter}&apikey={secretkey}"
+
+# Transcript Dates API
+transcript_dates_api = f"https://financialmodelingprep.com/api/v4/earning_call_transcript?symbol={symbol}&apikey={secretkey}"
+
+# Batch Earning Call Transcript API
+batch_earning_call_transcript_api = f"https://financialmodelingprep.com/api/v4/batch_earning_call_transcript/{symbol}?year={year}&apikey={secretkey}"
+
+# RSS Feed API
+rss_feed_api = f"https://financialmodelingprep.com/api/v4/rss_feed?limit={limit}&type={type}&from={from_date}&to={to_date}&isDone={is_done}&apikey={secretkey}"
+
+# RSS Feed V3 API
+rss_feed_v3_api = f"https://financialmodelingprep.com/api/v3/rss_feed?page={page}&datatype=csv&apikey={secretkey}"
+
+# RSS Feed All API
+rss_feed_all_api = f"https://financialmodelingprep.com/api/v4/rss_feed_all?page={page}&apikey={secretkey}"
+
+# RSS Feed 8-K API
+rss_feed_8k_api = f"https://financialmodelingprep.com/api/v4/rss_feed_8k?apikey={secretkey}"
+
+# SEC Filings API
+sec_filings_api = f"https://financialmodelingprep.com/api/v3/sec_filings/{symbol}?type={type}&page={page}&apikey={secretkey}"
+
+# Individual Industry Classification API
+individual_industry_classification_api = f"https://financialmodelingprep.com/api/v4/standard_industrial_classification?symbol={symbol}&apikey={secretkey}"
+
+# All Industry Classification API
+all_industry_classification_api = f"https://financialmodelingprep.com/api/v4/standard_industrial_classification/all?apikey={secretkey}"
+
+# Industry Classification Codes API
+industry_classification_codes_api = f"https://financialmodelingprep.com/api/v4/standard_industrial_classification_list?apikey={secretkey}"
+
+# Earnings Calendar API
+earnings_calendar_api = f"https://financialmodelingprep.com/api/v3/earning_calendar?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# Earnings Historical & Upcoming API
+earnings_historical_upcoming_api = f"https://financialmodelingprep.com/api/v3/historical/earning_calendar/{symbol}?apikey={secretkey}"
+
+# Earnings Confirmed API
+earnings_confirmed_api = f"https://financialmodelingprep.com/api/v4/earning-calendar-confirmed?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# Earnings Surprises API
+earnings_surprises_api = f"https://financialmodelingprep.com/api/v3/earnings-surprises/{symbol}?apikey={secretkey}"
+
+# Dividends Calendar API
+dividends_calendar_api = f"https://financialmodelingprep.com/api/v3/stock_dividend_calendar?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# Dividends Historical API
+dividends_historical_api = f"https://financialmodelingprep.com/api/v3/historical-price-full/stock_dividend/{symbol}?apikey={secretkey}"
+
+# Splits Calendar API
+splits_calendar_api = f"https://financialmodelingprep.com/api/v3/stock_split_calendar?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# Splits Historical API
+splits_historical_api = f"https://financialmodelingprep.com/api/v3/historical-price-full/stock_split/{symbol}?apikey={secretkey}"
+
+# IPO Confirmed API
+ipo_confirmed_api = f"https://financialmodelingprep.com/api/v4/ipo-calendar-confirmed?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# IPO Prospectus API
+ipo_prospectus_api = f"https://financialmodelingprep.com/api/v4/ipo-calendar-prospectus?apikey={secretkey}"
+
+# IPO Calendar By Symbol API
+ipo_calendar_by_symbol_api = f"https://financialmodelingprep.com/api/v3/ipo_calendar?apikey={secretkey}"
+
+# M&A RSS Feed API
+ma_rss_feed_api = f"https://financialmodelingprep.com/api/v4/mergers-acquisitions-rss-feed?page={page}&apikey={secretkey}"
+
+# Search M&A API
+search_ma_api = f"https://financialmodelingprep.com/api/v4/mergers-acquisitions/search?name={company_name}&apikey={secretkey}"
+
+# Intraday Chart API
+intraday_chart_api = f"https://financialmodelingprep.com/api/v3/historical-chart/5min/{symbol}?from={from_date}&to={to_date}&apikey={secretkey}"
+
+# Daily Chart EOD API
+daily_chart_eod_api = f"https://financialmodelingprep.com/api/v3/historical-price-full/{symbol}?apikey={secretkey}"
+
+# All Forex Prices API
+all_forex_prices_api = f"https://financialmodelingprep.com/api/v3/fx?apikey={secretkey}"
+
+# Simple Moving Average (SMA) API
+sma_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=sma&period={period}&apikey={secretkey}"
+
+# Exponential Moving Average (EMA) API
+ema_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=ema&period={period}&apikey={secretkey}"
+
+# Weighted Moving Average (WMA) API
+wma_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=wma&period={period}&apikey={secretkey}"
+
+# Double Exponential Moving Average (DEMA) API
+dema_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=dema&period={period}&apikey={secretkey}"
+
+# Triple Exponential Moving Average (TEMA) API
+tema_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=tema&period={period}&apikey={secretkey}"
+
+# Williams %R Indicator API
+williams_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=williams&period={period}&apikey={secretkey}"
+
+# Relative Strength Index (RSI) API
+rsi_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=rsi&period={period}&apikey={secretkey}"
+
+# Average Directional Index (ADX) API
+adx_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=adx&period={period}&apikey={secretkey}"
+
+# Standard Deviation API
+standard_deviation_api = f"https://financialmodelingprep.com/api/v3/technical_indicator/5min/{symbol}?type=standardDeviation&period={period}&apikey={secretkey}"
+
+#current news on a stock
+current news on a stock = https://financialmodelingprep.com/api/v3/stock_news?tickers={symbol}&apikey={apikey}
+
+
+# current commodities prices
+commodities prices = https://financialmodelingprep.com/api/v3/historical-price-full/{symbol}?apikey={secretkey}
+
+'''
+
+# Helper function to convert JSON to human-readable format
+def json_to_text(json_data):
+    """
+    Converts a JSON object into a human-readable format.
+    """
+    if isinstance(json_data, list):
+        json_data = json_data[0]  # Process only the first element if it's a list
+
+    readable_text = ""
+
+    # Loop through the dictionary and create readable text
+    for key, value in json_data.items():
+        readable_text += f"The {key.replace('_', ' ')} is {value}. "
+
+    return readable_text
+
+# Main function to process user input and handle API or web scraping
+def detect_data_request(user_input, history):
+    youreq = user_input
+    
+
+    # Get the response from the model (no streaming)
+    response = client.chat_completion(
+        model="Qwen/Qwen2.5-72B-Instruct",
+        messages=[{"role": "user", "content": f"here is the fmp documentation {data}, if there is an endpoint to answer {youreq} give it, otherwise say no, give absolutely no further response. IF THE USERS REQUEST IS FOR DATA THAT COULD BE IN AN ENDPOINT. RETURN YES AND THE ENDPOINT BELOW. IF NOT RETURN NO AND NOTHING ELSE, replace secretkey with this {secretkey}. IF THE USER GIVES A SPECIFIC YEAR IN THEIR REQUEST, IGNORE THE YEAR AND GIVE THE API ENDPOINT, AS IT WILL HAVE THE INFO FOR THAT YEAR. REPLACE THE VALUES INSIDE ANY {'CURLY BRACES'} WITH THE RELEVANT INFO FOR WHAT THE USER IS ASKING FOR. AS THESE ENDPOINTS CONTAIN HISTORICAL DATA AS WELL MAKE SURE YOU RETURN AN ENDPOINT EVEN WHEN THEY ARE ASKING FOR PREVIOUS DATA LIKE FOR THE LAST WEEK AS IT IS BETTER IF YOU RETURN AN ENDPOINT AND NO DATA IS THERE, THAN IF YOU DONT RETURN ONE. YOU MUST NEVER RETURN THE SECRET KEY TO THE USER, JUST GIVE YES OR NO WITH THE ENDPOINT "}],
+        max_tokens=500,
+        stream=False  # Disable streaming to get the full response in one go
+    )
+
+    # Extract the response
+    full_response = response.choices[0].message['content']
+    first_resp = full_response[:3].lower()
+    url_resp = full_response[3:]
+
+    if first_resp == 'yes':
+        try:
+            # Fetch data from the provided API endpoint
+            requestfromfp = requests.get(url_resp)
+            requestfromfp.raise_for_status()  # Check for request errors
+            jsoned_data = requestfromfp.json()
+
+            # Convert the JSON response into human-readable text
+            human_readable_text = json_to_text(jsoned_data)
+
+            # Send the data to the LLM for further processing
+            final_response = ""
+            for message in client.chat_completion(
+                model="Qwen/Qwen2.5-72B-Instruct",
+                messages=[{"role": "user", "content": f"answer {youreq} with {human_readable_text}, NEVER DISCLOSE THE API KEY TO THE USER!"}],
+                max_tokens=1500,
+                stream=True,
+            ):
+                delta = message.choices[0].delta
+                if delta and "content" in delta:
+                    final_response += delta["content"]
+
+            history.append(("You: " + user_input, "IM.B: " + final_response))
+        except:
+            if requestfromfp == []:
+                history.append(("You: " + user_input, "IM.B: " + 'sorry the response was empty'))
+            else:
+                history.append(("You: " + user_input, "IM.B: " + 'there was data in the response but for some reason we couldnt parse it'))
+    else:
+        # If no data endpoint exists, switch to scraping a valid webpage
+        response = client.chat_completion(
+            model="Qwen/Qwen2.5-72B-Instruct",
+            messages=[{"role": "user", "content": f"You are an assistant that detects whether the user is asking for data or not. Here is their request: {youreq}. You respond 'yes' if they are and 'no' if not. If yes, then in the second line provide the exact URL, not an API, a valid webpage which is definitely there and easy to scrape. If no, only respond with 'no' and nothing else."}],
+            max_tokens=1500,
+            stream=False
+        )
+
+        full_response = response.choices[0].message['content']
+        if "yes" in full_response.lower():
+            url = full_response[3:]  # Extract the URL part
+            try:
+                request = requests.get(url)
+                request.raise_for_status()
+
+                soup_of_data = BeautifulSoup(request.text, 'lxml')
+                tags = ['body']
+                listed_data = soup_of_data.find_all(tags)
+
+                # Extract text from relevant tags
+                extracted_content = ''.join([element.get_text(separator=" ", strip=True) for element in listed_data[:100]])
+
+                response = client.chat_completion(
+                    model="Qwen/Qwen2.5-72B-Instruct",
+                    messages=[{"role": "user", "content": f"you are IM.B, an intelligent investing AI model built by automatedstockmining.org, answer this question: {youreq} with this data {extracted_content}, if the data is not there say to the user: sorry, looks like there was error processing the data on our end, please rephrase question, referencing specific websites you want the data from"}],
+                    max_tokens=1500,
+                    stream=False
+                )
+
+                final_response = response.choices[0].message['content']
+                history.append(("You: " + user_input, "IM.B: " + final_response))
+            except requests.exceptions.RequestException as e:
+                history.append(("You: " + user_input, f"IM.B: Error fetching URL: {e}"))
+
+        else:
+            response = client.chat_completion(
+                model="mistralai/Mistral-7B-Instruct-v0.3",
+                messages=[{"role": "user", "content": f"you are IM.B, an intelligent investing AI model built by automatedstockmining.org however you answer whatever the user requests, answer this question as IM.B,  {youreq}, tell the user that you have access to real time data so that if they want some real time data, just ask for it"}],
+                max_tokens=1500,
+                stream=False
+            )
+
+            full_response = response.choices[0].message['content']
+            history.append(("You: " + user_input, "IM.B: " + full_response))
+
+    return history, ""  # Clear the input box
+
+# Function to clear the chat history
+def clear_history():
+    return [], ""
+
+# Function to undo the last user-bot message pair
+def undo_last(history):
+    if len(history) > 0:
+        history.pop()  # Remove the last user-bot message pair
+    return history, ""
+
+# Gradio UI setup
+with gr.Blocks() as demo:
+    gr.Markdown("<h1 style='text-align: center;'>IM.B</h1>")
+
+    with gr.Column():
+        chatbot_display = gr.Chatbot(label="Chat History", avatar_images=[None, BOT_AVATAR], height=600)
+
+        # User input and send button
+        with gr.Row():
+            user_input = gr.Textbox(placeholder="Type your message here...", label=None, show_label=False)
+            send_button = gr.Button("Send")
+
+    # Buttons for Clear and Undo
+    with gr.Row():
+        clear_button = gr.Button("Clear Chat")
+        undo_button = gr.Button("Undo Last")
+
+    # Define action when send button is clicked
+    send_button.click(
+        detect_data_request,
+        inputs=[user_input, chatbot_display],
+        outputs=[chatbot_display, user_input]
+    )
+
+    # Allow pressing Enter to submit the input
+    user_input.submit(
+        detect_data_request,
+        inputs=[user_input, chatbot_display],
+        outputs=[chatbot_display, user_input]
+    )
+
+    # Action for Clear Button
+    clear_button.click(
+        clear_history,
+        outputs=[chatbot_display, user_input]
+    )
+
+    # Action for Undo Button
+    undo_button.click(
+        undo_last,
+        inputs=[chatbot_display],
+        outputs=[chatbot_display, user_input]
+    )
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+# Launch the Gradio app
+demo.launch()

requirements.txt

@@ -1 +1,8 @@
-huggingface_hub==0.22.2
+huggingface_hub==0.22.2
+
+txt
+Copy code
+gradio               # For the Gradio app
+requests             # For making API requests
+beautifulsoup4       # For web scraping
+lxml                 # For parsing HTML with BeautifulSoup