Switch to Pinecone, add Dockerfile for HuggingFace

.gitignore

@@ -4,3 +4,5 @@ __pycache__/
 *.pyc
 feedback.json
 chat_log.json
+db/
+data/

Dockerfile

@@ -2,12 +2,16 @@ FROM python:3.12-slim
 
 WORKDIR /app
 
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
 COPY requirements.txt .
 
-RUN pip install --no-cache-dir fastapi uvicorn langchain langchain-community langchain-groq langchain-core langchain-text-splitters chromadb sentence-transformers pypdf python-dotenv pydantic python-multipart
+RUN pip install --no-cache-dir -r requirements.txt
 
 COPY . .
 
 EXPOSE 7860
 
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["python", "app.py"]

app.py

@@ -1,17 +1,17 @@
 import os
 import json
-import shutil
 import warnings
 warnings.filterwarnings("ignore")
 
 from dotenv import load_dotenv
 from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_groq import ChatGroq
 from langchain_core.prompts import PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain_community.document_loaders import PyPDFLoader
 from langchain_text_splitters import RecursiveCharacterTextSplitter
+from langchain_pinecone import PineconeVectorStore
+from pinecone import Pinecone, ServerlessSpec
 from fastapi import FastAPI, UploadFile, File, Form, Request
 from fastapi.responses import HTMLResponse, RedirectResponse
 from pydantic import BaseModel
@@ -22,15 +22,24 @@ import uvicorn
 
 load_dotenv()
 
-# ── Admin password (change this!) ──
-ADMIN_PASSWORD = "admin123"
-CHAT_LOG_FILE  = "chat_log.json"
-FEEDBACK_FILE  = "feedback.json"
+# ── Config ──
+ADMIN_PASSWORD  = "admin123"
+CHAT_LOG_FILE   = "chat_log.json"
+FEEDBACK_FILE   = "feedback.json"
+INDEX_NAME      = "college-chatbot"
+PINECONE_API_KEY = os.getenv("PINECONE_API_KEY")
 
-print("🔄 Loading knowledge base...")
+print("🔄 Loading embedding model...")
 embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
-vectordb = Chroma(persist_directory="./db", embedding_function=embeddings)
-retriever = vectordb.as_retriever(search_kwargs={"k": 6})
+
+print("☁️  Connecting to Pinecone...")
+pc = Pinecone(api_key=PINECONE_API_KEY)
+vectorstore = PineconeVectorStore(
+    index_name=INDEX_NAME,
+    embedding=embeddings,
+    pinecone_api_key=PINECONE_API_KEY
+)
+retriever = vectorstore.as_retriever(search_kwargs={"k": 6})
 
 print("🤖 Connecting to Groq LLM...")
 llm = ChatGroq(
@@ -82,8 +91,7 @@ def ask_with_memory(question: str, history: list) -> str:
     return chain.invoke({"context": context, "history": formatted_history, "question": question})
 
 def rebuild_knowledge_base(pdf_path: str):
-    global vectordb, retriever
-
+    global vectorstore, retriever
     loader = PyPDFLoader(pdf_path)
     documents = loader.load()
     splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=100)
@@ -95,22 +103,21 @@ def rebuild_knowledge_base(pdf_path: str):
             seen.add(text)
             unique_chunks.append(chunk)
 
-    # ── Delete all existing docs and re-add ──
+    # ── Clear existing Pinecone index and re-upload ──
     try:
-        vectordb.delete_collection()
-    except Exception:
-        pass
+        pc.Index(INDEX_NAME).delete(delete_all=True)
+        print("✅ Old Pinecone data cleared")
+    except Exception as e:
+        print(f"⚠️ Could not clear index: {e}")
 
-    import chromadb
-    from langchain_community.vectorstores import Chroma as ChromaStore
-    vectordb = ChromaStore.from_documents(
+    vectorstore = PineconeVectorStore.from_documents(
         documents=unique_chunks,
         embedding=embeddings,
-        persist_directory="./db"
+        index_name=INDEX_NAME,
+        pinecone_api_key=PINECONE_API_KEY
     )
-    vectordb.persist()
-    retriever = vectordb.as_retriever(search_kwargs={"k": 6})
-    print(f"✅ Knowledge base rebuilt with {len(unique_chunks)} unique chunks")
+    retriever = vectorstore.as_retriever(search_kwargs={"k": 6})
+    print(f"✅ Knowledge base rebuilt with {len(unique_chunks)} chunks in Pinecone")
 
 def load_feedback():
     if os.path.exists(FEEDBACK_FILE):
@@ -163,7 +170,6 @@ async def feedback(payload: Feedback):
     print(f"{'👍' if payload.rating == 'up' else '👎'} Feedback: {payload.question[:50]}")
     return {"status": "saved"}
 
-# ── Admin login page ──
 @app.get("/admin", response_class=HTMLResponse)
 async def admin_login():
     return HTMLResponse(content="""<!DOCTYPE html>
@@ -184,7 +190,6 @@ async def admin_login():
   input:focus{border-color:#22c55e}
   button{width:100%;background:#16a34a;border:none;border-radius:12px;color:white;font-family:'Plus Jakarta Sans',sans-serif;font-weight:700;font-size:.9rem;padding:.75rem;cursor:pointer;transition:all .2s}
   button:hover{background:#15803d;transform:translateY(-1px)}
-  .err{color:#dc2626;font-size:.8rem;margin-top:.5rem;display:none}
   .back{display:inline-block;margin-top:1rem;font-size:.78rem;color:#16a34a;text-decoration:none;font-weight:600}
 </style>
 </head>
@@ -197,7 +202,6 @@ async def admin_login():
     <input type="password" name="password" placeholder="Enter admin password" required autofocus/>
     <button type="submit">Login →</button>
   </form>
-  <div class="err" id="err">Incorrect password. Try again.</div>
   <a href="/" class="back">← Back to Chatbot</a>
 </div>
 </body>
@@ -208,8 +212,7 @@ async def admin_login_post(request: Request, password: str = Form(...)):
     if password != ADMIN_PASSWORD:
         return HTMLResponse(content="""<!DOCTYPE html>
 <html><head><meta charset="UTF-8"/>
-<link href="https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@700&display=swap" rel="stylesheet"/>
-<style>*{box-sizing:border-box;margin:0;padding:0}body{background:#f0faf4;font-family:'Plus Jakarta Sans',sans-serif;min-height:100vh;display:flex;align-items:center;justify-content:center}.card{background:white;border:1.5px solid #fecaca;border-radius:24px;padding:2.5rem 2rem;width:100%;max-width:380px;text-align:center}.icon{font-size:2.5rem;margin-bottom:1rem}h1{color:#dc2626;font-size:1.2rem;margin-bottom:1rem}a{display:inline-block;background:#16a34a;color:white;padding:.6rem 1.4rem;border-radius:10px;text-decoration:none;font-weight:700;font-size:.85rem}</style>
+<style>*{box-sizing:border-box;margin:0;padding:0}body{background:#f0faf4;font-family:sans-serif;min-height:100vh;display:flex;align-items:center;justify-content:center}.card{background:white;border:1.5px solid #fecaca;border-radius:24px;padding:2.5rem 2rem;width:100%;max-width:380px;text-align:center}.icon{font-size:2.5rem;margin-bottom:1rem}h1{color:#dc2626;font-size:1.2rem;margin-bottom:1rem}a{display:inline-block;background:#16a34a;color:white;padding:.6rem 1.4rem;border-radius:10px;text-decoration:none;font-weight:700;font-size:.85rem}</style>
 </head><body><div class="card"><div class="icon">❌</div><h1>Incorrect Password</h1><a href="/admin">Try Again</a></div></body></html>""")
     return RedirectResponse(url=f"/admin/panel?pwd={password}", status_code=303)
 
@@ -235,10 +238,13 @@ async def admin_panel(pwd: str = ""):
 
     chat_table = f"<table><thead><tr><th>Time</th><th>Question</th><th>Answer</th></tr></thead><tbody>{chat_rows}</tbody></table>" if chat_rows else "<div class='empty'>No chats yet!</div>"
 
-    pdf_exists = os.path.exists("data/college_info.pdf")
-    pdf_status = "✅ college_info.pdf found" if pdf_exists else "⚠️ No PDF found in data/"
-    db_exists = os.path.exists("./db") and len(os.listdir("./db")) > 0
-    db_status = "✅ Vector database ready" if db_exists else "⚠️ Database not built"
+    # ── Pinecone status ──
+    try:
+        index_info = pc.Index(INDEX_NAME).describe_index_stats()
+        total_vectors = index_info.get("total_vector_count", 0)
+        db_status = f"✅ Pinecone connected — {total_vectors} vectors"
+    except Exception:
+        db_status = "⚠️ Pinecone connection issue"
 
     return HTMLResponse(content=f"""<!DOCTYPE html>
 <html lang="en">
@@ -253,7 +259,7 @@ async def admin_panel(pwd: str = ""):
   .header{{background:#0a2e1a;color:#4ade80;padding:1.5rem 2rem;border-radius:16px;margin-bottom:1.5rem;display:flex;justify-content:space-between;align-items:center}}
   .header h1{{font-size:1.4rem;font-weight:800}}
   .header-links{{display:flex;gap:.6rem}}
-  .hlink{{background:rgba(74,222,128,.15);border:1px solid rgba(74,222,128,.3);border-radius:8px;color:#4ade80;font-size:.72rem;font-weight:700;padding:.35rem .8rem;text-decoration:none;transition:all .2s}}
+  .hlink{{background:rgba(74,222,128,.15);border:1px solid rgba(74,222,128,.3);border-radius:8px;color:#4ade80;font-size:.72rem;font-weight:700;padding:.35rem .8rem;text-decoration:none}}
   .hlink:hover{{background:rgba(74,222,128,.25)}}
   .grid{{display:grid;grid-template-columns:repeat(auto-fit,minmax(160px,1fr));gap:1rem;margin-bottom:1.5rem}}
   .stat{{background:white;border:1.5px solid #bbf7d0;border-radius:16px;padding:1.2rem;text-align:center;box-shadow:0 2px 12px rgba(34,197,94,.08)}}
@@ -263,9 +269,6 @@ async def admin_panel(pwd: str = ""):
   .section h2{{font-size:.85rem;font-weight:700;color:#16a34a;text-transform:uppercase;letter-spacing:.08em;margin-bottom:1rem}}
   .status-row{{display:flex;gap:1rem;flex-wrap:wrap;margin-bottom:1rem}}
   .status-badge{{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:.4rem .8rem;font-size:.8rem;color:#14532d;font-weight:600}}
-  .upload-form{{display:flex;flex-direction:column;gap:.8rem}}
-  .file-input{{border:2px dashed #bbf7d0;border-radius:12px;padding:1.5rem;text-align:center;cursor:pointer;color:#16a34a;font-size:.85rem;font-weight:600;transition:all .2s}}
-  .file-input:hover{{border-color:#22c55e;background:#f0fdf4}}
   .btn{{border:none;border-radius:12px;font-family:'Plus Jakarta Sans',sans-serif;font-weight:700;font-size:.85rem;padding:.65rem 1.3rem;cursor:pointer;transition:all .2s;white-space:nowrap}}
   .btn-green{{background:#16a34a;color:white;box-shadow:0 2px 10px rgba(22,163,74,.3)}}
   .btn-green:hover{{background:#15803d;transform:translateY(-1px)}}
@@ -284,39 +287,31 @@ async def admin_panel(pwd: str = ""):
 <div class="header">
   <h1>🛠️ Admin Panel</h1>
   <div class="header-links">
-    <a href="/dashboard?pwd={pwd}" class="hlink">📊 Dashboard</a>
+    <a href="/dashboard" class="hlink">📊 Dashboard</a>
     <a href="/" class="hlink">← Chatbot</a>
   </div>
 </div>
-
-<!-- Stats -->
 <div class="grid">
   <div class="stat"><div class="val">{total_chats}</div><div class="lbl">Total Chats</div></div>
   <div class="stat"><div class="val" style="color:#16a34a">👍 {thumbs_up}</div><div class="lbl">Helpful</div></div>
   <div class="stat"><div class="val" style="color:#dc2626">👎 {thumbs_down}</div><div class="lbl">Not Helpful</div></div>
   <div class="stat"><div class="val">{satisfaction}%</div><div class="lbl">Satisfaction</div></div>
 </div>
-
-<!-- Knowledge Base Management -->
 <div class="section">
   <h2>📚 Knowledge Base Management</h2>
   <div class="status-row">
-    <div class="status-badge">{pdf_status}</div>
+    <div class="status-badge">☁️ Pinecone Cloud DB</div>
     <div class="status-badge">{db_status}</div>
   </div>
-  <div class="upload-form">
-    <p style="font-size:.82rem;color:#6b7280;margin-bottom:.5rem">Upload a new college PDF to update the knowledge base. This will automatically rebuild the vector database.</p>
-    <form method="POST" action="/admin/upload?pwd={pwd}" enctype="multipart/form-data">
-  <input type="file" name="file" accept=".pdf" required style="border:2px dashed #bbf7d0;border-radius:12px;padding:1rem;width:100%;font-size:.85rem;color:#14532d;background:#f0fdf4;cursor:pointer;margin-bottom:.5rem"/>
-  <div class="btn-row" style="margin-top:.5rem">
-    <button type="submit" class="btn btn-green">📤 Upload & Rebuild Knowledge Base</button>
-  </div>
-</form>
-    <div class="alert" id="upload-alert">✅ PDF uploaded and knowledge base rebuilt successfully!</div>
-  </div>
+  <p style="font-size:.82rem;color:#6b7280;margin-bottom:.8rem">Upload a new college PDF to update the Pinecone knowledge base in the cloud.</p>
+  <form method="POST" action="/admin/upload?pwd={pwd}" enctype="multipart/form-data">
+    <input type="file" name="file" accept=".pdf" required style="border:2px dashed #bbf7d0;border-radius:12px;padding:1rem;width:100%;font-size:.85rem;color:#14532d;background:#f0fdf4;cursor:pointer;margin-bottom:.8rem"/>
+    <div class="btn-row">
+      <button type="submit" class="btn btn-green">📤 Upload & Rebuild Knowledge Base</button>
+    </div>
+  </form>
+  <div class="alert" id="upload-alert">✅ PDF uploaded and Pinecone knowledge base rebuilt successfully!</div>
 </div>
-
-<!-- Data Management -->
 <div class="section">
   <h2>🗂️ Data Management</h2>
   <p style="font-size:.82rem;color:#6b7280;margin-bottom:1rem">Manage stored feedback and chat logs. These actions cannot be undone.</p>
@@ -329,15 +324,11 @@ async def admin_panel(pwd: str = ""):
     </form>
   </div>
 </div>
-
-<!-- Recent Chat Logs -->
 <div class="section">
   <h2>💬 Recent Chat Logs</h2>
   {chat_table}
 </div>
-
 <script>
-  // Show upload success if redirected with success param
   if(window.location.search.includes('success=1')){{
     const a=document.getElementById('upload-alert');a.classList.add('show');
     setTimeout(()=>a.classList.remove('show'),4000);
@@ -366,7 +357,6 @@ async def clear_feedback(pwd: str = ""):
     if pwd != ADMIN_PASSWORD:
         return RedirectResponse(url="/admin")
     save_feedback([])
-    print("🗑️ Feedback data cleared")
     return RedirectResponse(url=f"/admin/panel?pwd={pwd}", status_code=303)
 
 @app.post("/admin/clear-chats")
@@ -374,7 +364,6 @@ async def clear_chats(pwd: str = ""):
     if pwd != ADMIN_PASSWORD:
         return RedirectResponse(url="/admin")
     save_chat_log([])
-    print("🗑️ Chat logs cleared")
     return RedirectResponse(url=f"/admin/panel?pwd={pwd}", status_code=303)
 
 @app.get("/dashboard", response_class=HTMLResponse)
@@ -414,7 +403,8 @@ async def dashboard():
   .stat-card .value{{font-size:2.2rem;font-weight:800;color:#16a34a}}.stat-card .label{{font-size:.75rem;color:#6b7280;font-weight:600;text-transform:uppercase;letter-spacing:.08em;margin-top:.3rem}}
   .section{{background:white;border:1.5px solid #bbf7d0;border-radius:16px;padding:1.4rem;margin-bottom:1.5rem}}
   .section h2{{font-size:.85rem;font-weight:700;color:#16a34a;text-transform:uppercase;letter-spacing:.08em;margin-bottom:1rem}}
-  table{{width:100%;border-collapse:collapse;font-size:.85rem}}th{{background:#f0fdf4;color:#16a34a;font-weight:700;padding:.6rem .8rem;text-align:left;font-size:.75rem;text-transform:uppercase}}
+  table{{width:100%;border-collapse:collapse;font-size:.85rem}}
+  th{{background:#f0fdf4;color:#16a34a;font-weight:700;padding:.6rem .8rem;text-align:left;font-size:.75rem;text-transform:uppercase}}
   td{{padding:.6rem .8rem;border-top:1px solid #f0fdf4;color:#374151;vertical-align:top}}
   .top-q-list{{list-style:none;display:flex;flex-direction:column;gap:.6rem}}
   .top-q-list li{{display:flex;justify-content:space-between;align-items:center;padding:.6rem .8rem;background:#f0fdf4;border-radius:10px;font-size:.85rem}}
@@ -581,13 +571,11 @@ async def home():
   function updateMemoryBadge(){const n=conversationHistory.length;memoryBadge.textContent=langConfig[currentLang].memoryText(n);}
   function handleKey(e){if(e.key==='Enter'&&!e.shiftKey){e.preventDefault();sendMessage();}}
   function useExample(btn){msgInput.value=btn.textContent;msgInput.focus();}
-
   function clearChat(){
     chatWindow.innerHTML='';chatWindow.appendChild(emptyState);emptyState.style.display='flex';
     conversationHistory=[];lastQuestion='';updateMemoryBadge();
     window.speechSynthesis&&window.speechSynthesis.cancel();
   }
-
   function appendMessage(role,text){
     emptyState.style.display='none';
     const row=document.createElement('div');row.className=`msg-row ${role}`;
@@ -607,14 +595,12 @@ async def home():
     }
     row.appendChild(avatar);row.appendChild(wrap);chatWindow.appendChild(row);chatWindow.scrollTop=chatWindow.scrollHeight;
   }
-
   async function submitFeedback(question,answer,rating,upBtn,downBtn,thanks){
     upBtn.disabled=true;downBtn.disabled=true;
     upBtn.classList.toggle('selected',rating==='up');downBtn.classList.toggle('selected',rating==='down');
     thanks.style.display='inline';
     await fetch('/feedback',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({question,answer,rating})});
   }
-
   function showTyping(){
     emptyState.style.display='none';
     const row=document.createElement('div');row.className='msg-row bot';row.id='typing-row';
@@ -623,9 +609,7 @@ async def home():
     typing.innerHTML='<div class="dot"></div><div class="dot"></div><div class="dot"></div>';
     row.appendChild(avatar);row.appendChild(typing);chatWindow.appendChild(row);chatWindow.scrollTop=chatWindow.scrollHeight;
   }
-
   function removeTyping(){const t=document.getElementById('typing-row');if(t)t.remove();}
-
   async function sendMessage(){
     const text=msgInput.value.trim();if(!text)return;
     lastQuestion=text;msgInput.value='';sendBtn.disabled=true;
@@ -640,7 +624,6 @@ async def home():
     }catch(err){removeTyping();appendMessage('bot','⚠️ Something went wrong. / कुछ गलत हो गया।');}
     finally{sendBtn.disabled=false;msgInput.focus();}
   }
-
   const SpeechRecognition=window.SpeechRecognition||window.webkitSpeechRecognition;
   let recognition=null,isListening=false;
   if(SpeechRecognition){
@@ -649,11 +632,9 @@ async def home():
     recognition.onresult=function(e){const t=e.results[0][0].transcript;msgInput.value=t;stopListening();sendMessage();};
     recognition.onerror=function(){stopListening();};recognition.onend=function(){stopListening();};
   }
-
   function toggleVoice(){if(!recognition){alert('Use Chrome or Edge for voice.');return;}isListening?stopListening():startListening();}
   function startListening(){isListening=true;if(recognition)recognition.lang=langConfig[currentLang].speechLang;const b=document.getElementById('voice-btn');b.classList.add('listening');b.textContent='🔴';voiceStatus.classList.add('visible');msgInput.placeholder=langConfig[currentLang].voiceStatus;recognition.start();}
   function stopListening(){isListening=false;const b=document.getElementById('voice-btn');b.classList.remove('listening');b.textContent='🎤';voiceStatus.classList.remove('visible');msgInput.placeholder=langConfig[currentLang].placeholder;try{recognition.stop();}catch(e){}}
-
   function speakAnswer(text){
     if(!window.speechSynthesis)return;window.speechSynthesis.cancel();
     const u=new SpeechSynthesisUtterance(text);
@@ -665,5 +646,5 @@ async def home():
 </body>
 </html>""")
 
-print("🚀 Launching at http://localhost:8000")
+print("🚀 Launching at http://0.0.0.0:7860")
 uvicorn.run(app, host="0.0.0.0", port=7860)

ingest.py

@@ -5,10 +5,15 @@ from dotenv import load_dotenv
 from langchain_community.document_loaders import PyPDFLoader
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain_community.vectorstores import Chroma
+from pinecone import Pinecone, ServerlessSpec
+from langchain_pinecone import PineconeVectorStore
 
 load_dotenv()
 
+# ── Pinecone config ──
+PINECONE_API_KEY = os.getenv("pcsk_b7nf9_BxgcNVXmQiJJ3t8WQrWkwo3CQCSjm2SjCuJExLSUGVycQP2ch3RLnbN8ToSxQsR")
+INDEX_NAME = "college-chatbot"
+
 print("📄 Loading your college PDF...")
 loader = PyPDFLoader("data/college_info.pdf")
 documents = loader.load()
@@ -16,8 +21,8 @@ print(f"✅ Loaded {len(documents)} pages")
 
 print("✂️  Splitting into chunks...")
 splitter = RecursiveCharacterTextSplitter(
-    chunk_size=1000,   # increased from 500
-    chunk_overlap=100  # increased from 50
+    chunk_size=1000,
+    chunk_overlap=100
 )
 chunks = splitter.split_documents(documents)
 print(f"📦 Created {len(chunks)} chunks before deduplication")
@@ -37,11 +42,34 @@ chunks = unique_chunks
 print("🧠 Loading embedding model...")
 embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
 
-print("💾 Storing chunks in ChromaDB...")
-vectordb = Chroma.from_documents(
+print("☁️  Connecting to Pinecone...")
+pc = Pinecone(api_key=PINECONE_API_KEY)
+
+# ── Create index if it doesn't exist ──
+existing_indexes = [index.name for index in pc.list_indexes()]
+if INDEX_NAME not in existing_indexes:
+    print(f"📌 Creating new Pinecone index: {INDEX_NAME}")
+    pc.create_index(
+        name=INDEX_NAME,
+        dimension=384,       # all-MiniLM-L6-v2 produces 384-dim vectors
+        metric="cosine",
+        spec=ServerlessSpec(
+            cloud="aws",
+            region="us-east-1"
+        )
+    )
+    print(f"✅ Index '{INDEX_NAME}' created!")
+else:
+    print(f"✅ Index '{INDEX_NAME}' already exists — clearing old data...")
+    pc.Index(INDEX_NAME).delete(delete_all=True)
+    print("✅ Old data cleared!")
+
+print("💾 Uploading chunks to Pinecone...")
+vectorstore = PineconeVectorStore.from_documents(
     documents=chunks,
     embedding=embeddings,
-    persist_directory="./db"
+    index_name=INDEX_NAME,
+    pinecone_api_key=PINECONE_API_KEY
 )
-vectordb.persist()
-print("✅ All done! Your college knowledge base is ready.")
+print(f"✅ All done! {len(chunks)} chunks uploaded to Pinecone cloud.")
+print(f"🌐 Your knowledge base is now live in the cloud!")

requirements.txt

@@ -5,9 +5,10 @@ langchain-community
 langchain-groq
 langchain-core
 langchain-text-splitters
-chromadb
+langchain-pinecone
+pinecone-client
 sentence-transformers
 pypdf
 python-dotenv
 pydantic
-python-multipart
+python-multipart