Upload 4 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+b6c3v8_Theories_of_Personality_10.pdf filter=lfs diff=lfs merge=lfs -text
+Diagnostic[[:space:]]and[[:space:]]statistical[[:space:]]manual[[:space:]]of[[:space:]]mental[[:space:]]disorders[[:space:]]_[[:space:]]DSM-5[[:space:]]([[:space:]]PDFDrive.com[[:space:]]).pdf filter=lfs diff=lfs merge=lfs -text

Diagnostic and statistical manual of mental disorders _ DSM-5 ( PDFDrive.com ).pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:971176ce7eedbdf7e74df6f555eab5c7cec2ed14fd5a2a8acd7f8f52734eba98
+size 7518145

app (5).py

@@ -0,0 +1,84 @@
+import gradio as gr
+from huggingface_hub import InferenceClient
+from sentence_transformers import SentenceTransformer
+import faiss
+import numpy as np
+import pdfplumber
+
+# Initialize the InferenceClient
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+# Function to extract text from PDFs
+def extract_text_from_pdf(pdf_path):
+    text = ""
+    with pdfplumber.open(pdf_path) as pdf:
+        for page in pdf.pages:
+            page_text = page.extract_text()
+            if page_text:
+                text += page_text
+    return text
+
+# Load and preprocess book PDFs
+pdf_files = ["Diagnostic and statistical manual of mental disorders _ DSM-5 ( PDFDrive.com ).pdf", "b6c3v8_Theories_of_Personality_10.pdf"]
+all_texts = [extract_text_from_pdf(pdf) for pdf in pdf_files]
+
+# Split text into chunks
+def chunk_text(text, chunk_size=300):
+    sentences = text.split('. ')
+    chunks, current_chunk = [], ""
+    for sentence in sentences:
+        if len(current_chunk) + len(sentence) <= chunk_size:
+            current_chunk += sentence + ". "
+        else:
+            chunks.append(current_chunk.strip())
+            current_chunk = sentence + ". "
+    if current_chunk:
+        chunks.append(current_chunk.strip())
+    return chunks
+
+# Prepare embeddings for each book
+model = SentenceTransformer("all-MiniLM-L6-v2")
+index = faiss.IndexFlatL2(model.get_sentence_embedding_dimension())
+chunked_texts = [chunk_text(text) for text in all_texts]
+all_chunks = [chunk for chunks in chunked_texts for chunk in chunks]
+embeddings = model.encode(all_chunks, convert_to_tensor=True).detach().cpu().numpy()
+index.add(embeddings)
+
+# Function to generate response
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    # Step 1: Retrieve relevant chunks based on user message
+    query_embedding = model.encode([message], convert_to_tensor=True).detach().cpu().numpy()
+    k = 5
+    _, indices = index.search(query_embedding, k)
+    relevant_chunks = " ".join([all_chunks[idx] for idx in indices[0]])
+    
+    # Step 2: Create prompt for the model
+    prompt = f"{system_message}\n\nUser Query: {message}\n\nRelevant Information: {relevant_chunks}"
+    response = ""
+
+    # Step 3: Generate response
+    for message in client.chat_completion(
+        [{"role": "system", "content": system_message}, {"role": "user", "content": message}],
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        token = message.choices[0].delta.content
+        response += token
+        yield response
+
+# Gradio ChatInterface with additional inputs
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a helpful and empathetic mental health assistant.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
+    ],
+)
+
+# Launch the Gradio interface
+if __name__ == "__main__":
+    demo.launch()

b6c3v8_Theories_of_Personality_10.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a55b43e59e213460e596decc1af25ee5a6241e70b6f99d29fb82378e3b816ea
+size 11121786

requirements (1).txt

@@ -0,0 +1,8 @@
+gradio
+huggingface_hub
+sentence-transformers
+faiss-cpu
+transformers
+pdfplumber
+torch  # Version compatible with sentence-transformers and transformers
+numpy