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.gitattributes

@@ -32,3 +32,4 @@ 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
+faiss_index_03/index.faiss filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,37 @@
+from pathlib import Path
+import gradio as gr
+from langchain import FAISS
+from langchain.embeddings import OpenAIEmbeddings
+import os
+
+
+embeddings = OpenAIEmbeddings()
+faiss_path = Path(__file__).parent / "faiss_index_03"
+docsearch = FAISS.load_local(faiss_path, embeddings)
+
+def generate_outputs(query: str, k: int):
+    outputs = []
+    docs_and_scores = docsearch.similarity_search_with_score(query, k=k)
+    for doc, score in docs_and_scores:
+        output_text = f"{doc.page_content} + \n Score: {score:.2f}"
+        outputs.append(output_text)
+    return "\n---------------------------------------------------------\n" \
+           "---------------------------------------------------------\n" \
+           "---------------------------------------------------------\n".join(outputs)
+
+# Define input/output interfaces and options
+iface = gr.Interface(
+    fn=generate_outputs,
+    inputs=[
+        gr.Textbox(label="Enter your text", value="Sample text", lines=2),
+        gr.Slider(label="Number of outputs", minimum=1, maximum=12, value=4)
+    ],
+    outputs=[
+         gr.Textbox(label="Generated Outputs")
+    ],
+    title="Text Generation App",
+    description="Enter your text and choose the number of outputs you'd like to generate"
+)
+
+# Launch the Gradio app
+iface.launch()

faiss_index_03/index.faiss

@@ -0,0 +1,3 @@
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+oid sha256:8ce554e40e6d45f9f6e876bad78020e38f1a84f55f0e444d452e83fff9ee9ad5
+size 31033389

faiss_index_03/index.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f88804041a4c7ea4f718746eba3a2955588d7180dfc17036bd09bac682827604
+size 13955061