Create app.py

app.py

@@ -0,0 +1,85 @@
+import streamlit as st
+import json
+import os
+import requests
+from bardapi import Bard
+
+# Load the GOOGLE_LANGUAGES_TO_CODES dictionary from lang.json
+with open("lang.json", "r") as file:
+    GOOGLE_LANGUAGES_TO_CODES = json.load(file)
+
+with st.sidebar:
+    # Add a selector in the sidebar using the dictionary's keys
+    selected_language_name = st.sidebar.selectbox("Select Language", list(GOOGLE_LANGUAGES_TO_CODES.keys()))
+    code_interpreter = st.sidebar.toggle("Code Interpreter", value=True)
+    system_prompt = st.sidebar.text_input("System prompt for code interpreter", value = "Rule 1: If a user provides a code explain it line by line")
+    useSystemPrompt = st.sidebar.toggle("Use System prompt", value=True)
+    exportToReplIt = st.sidebar.toggle("Export to repl.it", value=False)
+    showImages = st.sidebar.toggle("Show images", value=True)
+    
+# Retrieve the corresponding language code from the dictionary
+selected_language_code = GOOGLE_LANGUAGES_TO_CODES[selected_language_name]
+
+# Initialize Bard with the selected language code
+bard = Bard(token=os.getenv("_BARD_API_KEY"), language=selected_language_code)
+
+TITLE = "Ayush Dhawan's Codebot"
+DESCRIPTION = """
+Welcome to my coding chatbot! paste any code you want an explanation for!
+"""
+
+
+# Streamlit UI
+st.title(TITLE)
+st.write(DESCRIPTION)
+
+# Prediction function
+def predict(message):
+    with st.status("Requesting 🦔..."):
+        st.write("Requesting API...")
+        response = bard.get_answer(message if not (code_interpreter and useSystemPrompt) else message + " . "+system_prompt)
+        st.write("Done...")
+        
+        st.write("Checking images...")
+    if 'images' in response.keys() and showImages:
+        for i in response['images']:
+            st.image(i)
+    
+    return response
+
+# Display chat messages from history on app rerun
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"], avatar=("🧑‍💻" if message["role"] == 'human' else '🦔')):
+        st.markdown(message["content"])
+
+# React to user input
+if prompt := st.chat_input("Ask Palm 2 anything..."):
+    st.chat_message("human", avatar="🧑‍💻").markdown(prompt)
+    st.session_state.messages.append({"role": "human", "content": prompt})
+
+    response = predict(prompt)
+    with st.chat_message("assistant", avatar='🦔'):
+        st.markdown(response['content'])
+    
+    if response['code']:
+        if exportToReplIt:
+            with st.status("Exporting replit..."):
+                fale = False
+                try:
+                    url = bard.export_replit(code=response['code'],program_lang=response['program_lang'])['url']
+                except error:
+                    fale=True
+                    st.write('ERROR')
+            if not fale:
+                st.title('Export to repl.it')
+                st.markdown(f'[link]({url})')
+        if code_interpreter:
+            try:
+                exec(response['code'])
+            except Exception as e:
+                st.write(f"ERROR {e}...")
+    
+    st.session_state.messages.append({"role": "assistant", "content": response['content']})