Update app.py

app.py

@@ -80,126 +80,6 @@ Relevant documents:
 {docs_context}
 
 Current question: {question}
-{master_prompt}"""
-    
-    response = client.chat.completions.create(
-        model="meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
-        messages=[
-            {"role": "system", "content": master_prompt},
-            {"role": "user", "content": full_prompt}
-        ],
-    )
-    
-    return response.choices[0].message.content
-
-def launch_bot():
-    if 'cfg' not in st.session_state:
-        questions = list(eval(os.environ['examples']))
-        cfg = OmegaConf.create({
-            'api_key': together_api_key,
-            'title': os.environ['title'],
-            'description': os.environ['description'],
-            'examples': questions,
-            'source_data_desc': os.environ['source_data_desc']
-        })
-        st.session_state.cfg = cfg
-
-    cfg = st.session_state.cfg
-    st.set_page_config(page_title=cfg.title, layout="wide")
-
-    # Left side content
-    with st.sidebar:
-        image = Image.open('Vectara-logo.png')
-        st.markdown(f"## Welcome to {cfg.title}\n\n"
-                    f"This demo uses an AI organic farming expert and carefully curated library system to achieve greater accuracy in agronomics and agricultural methodology. Created by Copyleft Cultivars, a nonprofit, we hope you enjoy this beta-test early access version.\n\n")
-
-        st.markdown("---")
-        st.markdown(
-            "## Democratizing access to farming knowledge.\n"
-            "This app was built with the support of our Patreon subscribers. Thank you! [Click here to join our patreon or upgrade your membership.](https://www.patreon.com/CopyleftCultivarsNonprofit). \n"
-            "Use of this app indicates agreement to our terms of membership, available on Copyleftcultivars.com. \n"
-        )
-        st.markdown("---")
-        st.image(image, width=250)
-
-    st.markdown(f"<center> <h2> Copyleft Cultivars AI Agriculture Assistant demo: {cfg.title} </h2> </center>", unsafe_allow_html=True)
-    st.markdown(f"<center> <h4> {cfg.description} <h4> </center>", unsafe_allow_html=True)
-
-    if "messages" not in st.session_state:
-        st.session_state.messages = [{"role": "assistant", "content": "How may I help you?"}]
-
-    # Display chat messages
-    for message in st.session_state.messages:
-        with st.chat_message(message["role"]):
-            st.write(message["content"])
-
-    # User-provided prompt
-    if prompt := st.chat_input():
-        st.session_state.messages.append({"role": "user", "content": prompt})
-        with st.chat_message("user"):
-            st.write(prompt)
-        if any(variant in prompt for variant in ("JSON", "json", "jsON", "jSon", "Json", "jsoN", "JSon")):
-            if "ADMINISTRATION" not in prompt:
-                message = {"role": "assistant", "content": denial_response}
-                st.session_state.messages.append(message)
-                st.chat_message("assistant")
-                st.write(denial_response)
-
-    # Generate a new response if the last message is not from assistant
-    if st.session_state.messages[-1]["role"] != "assistant":
-        with st.chat_message("assistant"):
-            with st.spinner("Thinking..."):
-                prompt2 = prompt + master_prompt
-                response = generate_response(prompt2)
-                st.write(response)
-
-                message = {"role": "assistant", "content": response}
-                st.session_state.messages.append(message)
-
-                text = " :blue[Convert to Audio ]  🔊 "
-                # Converts Response to Audio
-                with st.expander(text, expanded=False):
-                    sound_file = BytesIO()
-                    tts = gTTS(response, lang='en')
-                    tts.write_to_fp(sound_file)
-                    st.audio(sound_file)
-
-                st.markdown("[Sign up for Premium](https://www.patreon.com/CopyleftCultivarsNonprofit)", unsafe_allow_html=True)
-
-if __name__ == "__main__":
-    launch_bot()    pc.create_index(
-        name=index_name,
-        dimension=dimension,
-        metric="cosine",
-        spec=ServerlessSpec(
-            cloud='aws',
-            region='us-east-1'
-        )
-    )
-
-# Wait for the index to be ready
-while not pc.describe_index(index_name).status['ready']:
-    time.sleep(1)
-
-index = pc.Index(index_name)
-
-denial_response = "Database scraping is not permitted. Please abide by the terms of membership, and reach out with any collaboration requests via email"
-
-# Initialize Together AI client
-client = Together(api_key=together_api_key)
-
-@weave.op()
-def generate_response(question):
-    # Get recent conversation context from session state
-    recent_messages = st.session_state.messages[-5:]  # Get last 5 messages
-    conversation_context = "\n".join([f"{m['role']}: {m['content']}" for m in recent_messages])
-    
-    # Combine context with current question
-    full_prompt = f"""Previous conversation:
-{conversation_context}
-
-Current question: {question}
-
 {master_prompt}"""
     
     response = client.chat.completions.create(