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| import gradio as gr | |
| import requests | |
| from bs4 import BeautifulSoup | |
| from urllib.parse import urljoin | |
| from datetime import datetime | |
| import json | |
| import os | |
| jetzt = datetime.now() | |
| zeitstempel_str = jetzt.strftime("%Y-%m-%d") | |
| secreturl = os.environ.get('secret_url') | |
| custom_css = """ | |
| #md { | |
| height: 500px; | |
| font-size: 30px; | |
| background: #121212; | |
| padding: 20px; | |
| padding-top: 40px; | |
| color: white; | |
| border: 1 px solid #383838; | |
| } | |
| .senden { | |
| width: 300px; | |
| float: right; | |
| background:purple; | |
| } | |
| .clear-button { | |
| float: right; | |
| #margin-top: 10px; | |
| background:purple; | |
| } | |
| """ | |
| def question(prompt, optimization_mode): | |
| anfrage = """ | |
| instruction: you are a json expert and your job is extracting information from text, generating valid json and return a json object only. do not return any text. halte dich an das vorgegebene json schema. | |
| prompt: fill in the missing contact information. do not reference the json object. do not use html tags inside the json object. do not return explanaitons or any other text. return a valid json object only. | |
| { | |
| "Name": "", | |
| "Email": "", | |
| "Website": "", | |
| "Phone": "" | |
| } | |
| """ | |
| try: | |
| url = secreturl | |
| payload = { | |
| "chatModel": { | |
| "provider": "groq", | |
| "model": "llama3-70b-8192" | |
| }, | |
| "embeddingModel": { | |
| "provider": "local", | |
| "model": "xenova-bge-small-en-v1.5" | |
| }, | |
| "optimizationMode": optimization_mode, | |
| "focusMode": "webSearch", | |
| "query": f"antworte kurz und knapp. {prompt}. antworte auf deutsch. formatiere deine antworten ansprechend und strukturiert in markdown\nhinweis: heute ist der {zeitstempel_str}\n", | |
| "history": [ | |
| ["human", "Hi, how are you?"], | |
| ["assistant", "I am doing well, how can I help you today?"] | |
| ] | |
| } | |
| headers = { | |
| "Content-Type": "application/json" | |
| } | |
| response = requests.post(url, json=payload, headers=headers) | |
| ergebnis = response.json().get('message') | |
| for i in range(1, 19): | |
| ergebnis = ergebnis.replace(f"[{i}]", " ") | |
| return ergebnis | |
| except requests.RequestException as e: | |
| return {"error": str(e)} | |
| except Exception as e: | |
| return {"error": str(e)} | |
| def clear(): | |
| return "", "speed" | |
| # Erstelle die Gradio-Schnittstelle | |
| with gr.Blocks(css=custom_css, theme=gr.themes.Default(font=[gr.themes.GoogleFont("Inconsolata"), "Arial", "sans-serif"])) as demo: | |
| #gr.Markdown("# <br>") | |
| links_output = gr.Markdown(label="Antwort", elem_id="md", value="# Perplexica WebSearch") | |
| ort_input = gr.Textbox(label="Frage", placeholder="ask anything...", scale=3, value="") | |
| optimization_mode_input = gr.Dropdown(choices=["speed", "balanced"], label="Optimization Mode", value="speed") | |
| button = gr.Button("senden", elem_classes="senden") | |
| button.click(fn=question, inputs=[ort_input, optimization_mode_input], outputs=links_output) | |
| #clear_button = gr.Button("clear", elem_classes="clear-button") | |
| #clear_button.click(fn=clear, inputs=[], outputs=[ort_input, optimization_mode_input]) | |
| demo.launch() |