Delete Chatbot.py

Chatbot.py

@@ -1,136 +0,0 @@
-import streamlit as st
-import speech_recognition as sr
-from openai import OpenAI
-
-# Initialize session state for chat visibility
-if "chat_started" not in st.session_state:
-    st.session_state.chat_started = False
-
-if "chat_history" not in st.session_state:
-    st.session_state.chat_history = []
-if "feedback" not in st.session_state:
-    st.session_state.feedback = {}
-
-st.set_page_config(page_title="🍽️ Food Chatbot", page_icon="🍽️", layout="wide")
-
-# 🎯 Welcome Screen (Only Show if Chat Not Started)
-if not st.session_state.chat_started:
-    st.title("🤖 Welcome to the Foodie Chatbot!")
-    st.write("Your go-to chatbot for all things food: recipes, restaurant recommendations, and more!")
-
-    st.subheader("✨ Features")
-    st.markdown("""
-    - 🍲 **Get Recipes**: Find delicious recipes based on ingredients or dish names.
-    - 🛒 **Where to Buy**: Discover where you can buy specific food items.
-    - 🍽️ **Restaurant Recommendations**: Find the best restaurants serving your favorite dishes.
-    - 🎙️ **Voice Input**: Speak your query instead of typing.
-    - 📜 **Chat History**: Track your past questions and answers.
-    """)
-
-    if st.button("🚀 Start Chat"):
-        st.session_state.chat_started = True
-        st.rerun()
-    st.stop()
-
-st.title("🍽️ Foodie Chatbot")
-
-# 🎤 Function to capture voice input
-def get_voice_input():
-    recognizer = sr.Recognizer()
-    with sr.Microphone() as source:
-        st.info("🎤 Listening... Speak now!")
-        try:
-            audio = recognizer.listen(source, timeout=5)
-            text = recognizer.recognize_google(audio)
-            return text
-        except sr.UnknownValueError:
-            st.error("😕 Could not understand the audio.")
-        except sr.RequestError:
-            st.error("🔌 Speech Recognition service unavailable.")
-    return ""
-
-# 🎤 Voice Input Button
-if st.button("🎤 Speak Query"):
-    voice_text = get_voice_input()
-    if voice_text:
-        st.session_state["user_prompt"] = voice_text
-    else:
-        st.warning("No voice input detected.")
-
-# 📝 User Input Text Area
-user_prompt = st.text_area("Enter Any Food:", st.session_state.get("user_prompt", ""))
-
-# ⚙️ Sidebar Settings
-st.sidebar.header("⚙️ Settings")
-output_format = st.sidebar.selectbox("Select Query Type", ["Recipe", "Where to Buy", "Best Restaurant"])
-max_tokens = st.sidebar.slider("Response Length (Max Tokens)", 100, 1024, 500)
-creative_mode = st.sidebar.checkbox("Enable Creative Mode", value=True)
-
-# 📜 Chat History in Sidebar
-st.sidebar.header("📜 Chat History")
-if st.sidebar.button("🗑️ Clear Chat History"):
-    st.session_state.chat_history = []
-    st.session_state.feedback = {}
-
-with st.sidebar.expander("🔍 View Chat History", expanded=False):
-    for i, chat in enumerate(reversed(st.session_state.chat_history)):
-        st.markdown(f"**User:** {chat['user']}")
-        bot_preview = chat['bot'][:200] + ("..." if len(chat['bot']) > 200 else "")
-        st.markdown(f"**Bot:** {bot_preview}")
-
-        if len(chat['bot']) > 200:
-            if st.toggle(f"📖 Show Full Response ({i+1})", key=f"toggle_{i}"):
-                st.markdown(chat['bot'])
-
-        feedback_value = st.session_state.feedback.get(chat['user'], "No Feedback Given")
-        st.markdown(f"**Feedback:** {feedback_value}")
-        st.markdown("---")
-
-response_container = st.empty()
-feedback_container = st.empty()
-
-# 🚀 Generate Response
-if st.button("Generate Response"):
-    if user_prompt.strip():
-        client = OpenAI(
-            base_url="https://integrate.api.nvidia.com/v1",
-            api_key="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"
-        )
-
-        messages = [{"role": "user", "content": f"Provide information about {user_prompt} as a {output_format.lower()}"}]
-
-        try:
-            completion = client.chat.completions.create(
-                model="tiiuae/falcon3-7b-instruct",
-                messages=messages,
-                top_p=0.9 if creative_mode else 0.7,
-                max_tokens=max_tokens,
-                stream=True
-            )
-
-            response_text = ""
-            progress_text = st.empty()
-
-            for chunk in completion:
-                if chunk.choices[0].delta.content is not None:
-                    response_text += chunk.choices[0].delta.content
-                    progress_text.markdown(f"### Generating... ⏳\n{response_text}")
-
-            progress_text.empty()
-            response_container.markdown(f"### Generated Response\n{response_text}")
-
-            chat_entry = {"user": user_prompt, "bot": response_text}
-            st.session_state.chat_history.append(chat_entry)
-
-            feedback = feedback_container.radio(
-                "Was this response helpful?",
-                ["👍 Yes", "👎 No"],
-                index=None,
-                key=f"feedback_{len(st.session_state.chat_history)}",
-                horizontal=True
-            )
-
-            st.session_state.feedback[user_prompt] = feedback
-
-        except Exception as e:
-            st.error(f"❌ Error: {e}")