feat: chatbot

api/routers/chatbot.py

@@ -0,0 +1,47 @@
+import ollama
+import chromadb
+from pypdf import PdfReader 
+from fastapi import FastAPI 
+import uvicorn
+
+client = chromadb.Client()
+collection = client.create_collection(name="docs")
+
+reader = PdfReader('../../GDPRArticles.pdf')
+chunks = [page.extract_text().strip() for page in reader.pages if page.extract_text().strip()]
+print("Done reading pages!")
+for i, chunk in enumerate(chunks):
+    response = ollama.embed(model="nomic-embed-text", input=chunk)
+    embedding = response["embeddings"][0]
+    collection.add(
+        ids=[str(i)],
+        embeddings=[embedding],
+        documents=[chunk]
+    )
+print("Embeddings done!")
+
+app = FastAPI()
+
+@app.post("/chat")
+async def chat_bot(prompt: str):
+    if not prompt:
+        return
+    query = prompt
+    response = ollama.embed(model="nomic-embed-text", input=query)
+    query_embedding = response["embeddings"][0]
+
+    results = collection.query(
+        query_embeddings=[query_embedding],
+        n_results=1
+    )
+    data = results['documents'][0][0]
+
+    output = ollama.generate(
+        model="llama3.2",
+        prompt=f"Context: {data}\n\nQuestion: {query}\n\nAnswer:"
+    )
+    return {"response": output["response"]}
+
+
+if __name__ == '__main__':
+    uvicorn.run(app, port=8080, host='0.0.0.0')