[FIX] dependency hell

main.py

@@ -12,14 +12,17 @@ embeddings = SentenceTransformerEmbeddings(model_name=model)
 prev_files = None
 retriever = None
 
+
 def handle_files_and_query(query, files):
     results = ""
     global prev_files, retriever
+    files = [f.name for f in files]
     if files is not None and files != prev_files:
         documents = []
         prev_files = files
         for file in files:
-            documents.extend(PyMuPDFLoader(file).load_and_split(SentenceTransformersTokenTextSplitter(model_name=model)))
+            documents.extend(
+                PyMuPDFLoader(file).load_and_split(SentenceTransformersTokenTextSplitter(model_name=model)))
         retriever = BM25Retriever.from_documents(documents, k=100)
         results += "Index created successfully!\n"
         print("Index created successfully!")
@@ -31,19 +34,22 @@ def handle_files_and_query(query, files):
     print(f"Query: {query}")
     if query:
         search_results = retriever.get_relevant_documents(query)
-        pattern = r'[^\\/]+$' # pattern to get filename from filepath
-        reranked_results = FAISS.from_documents(search_results, embeddings, distance_strategy=DistanceStrategy.COSINE).similarity_search(query, k=25)
+        pattern = r'[^\\/]+$'  # pattern to get filename from filepath
+        reranked_results = FAISS.from_documents(search_results, embeddings,
+                                                distance_strategy=DistanceStrategy.COSINE).similarity_search(query,
+                                                                                                             k=25)
         results = "\n".join([
             f"Source: {re.search(pattern, result.metadata['file_path']).group(0)}\nPage: {result.metadata['page']}\nContent:\n{result.page_content}\n"
             for result in reranked_results
         ])
     return results
 
+
 interface = gr.Interface(
     fn=handle_files_and_query,
     inputs=[
-        gr.Textbox(lines = 1, label="Enter your search query here..."),
-        gr.File(file_count="multiple", type="filepath", file_types=[".pdf"], label="Upload a file here.")
+        gr.Textbox(lines=1, label="Enter your search query here..."),
+        gr.File(file_count="multiple", type="file", file_types=[".pdf"], label="Upload a file here.")
     ],
     outputs="text",
     title="Similarity Search for PDFs"

requirements.txt

@@ -26,7 +26,7 @@ emoji==2.8.0
 et-xmlfile==1.1.0
 exceptiongroup==1.1.1
 faiss-cpu==1.7.4
-fastapi==0.105.0
+fastapi
 ffmpy==0.3.0
 filelock==3.12.2
 filetype==1.2.0
@@ -34,7 +34,7 @@ flatbuffers==23.5.26
 fonttools==4.40.0
 frozenlist==1.3.3
 fsspec==2023.6.0
-gradio==4.10.0
+gradio
 gradio_client==0.7.3
 h11==0.14.0
 httpcore==0.17.2
@@ -49,7 +49,7 @@ Jinja2==3.1.2
 joblib==1.3.2
 jsonschema==4.17.3
 kiwisolver==1.4.4
-langchain==0.0.205
+langchain
 langchainplus-sdk==0.0.16
 langdetect==1.0.9
 layoutparser==0.3.4
@@ -90,7 +90,7 @@ portalocker==2.8.2
 protobuf==4.25.1
 pycocotools==2.0.7
 pycparser==2.21
-pydantic==2.5.2
+pydantic
 pydantic_core==2.14.5
 pydub==0.25.1
 Pygments==2.15.1