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.env

@@ -0,0 +1 @@
+OPENAI_API_KEY="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"

.gitattributes

@@ -33,3 +33,12 @@ 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
+documents/2r44ai093289-02a1_lochhead_0.pdf filter=lfs diff=lfs merge=lfs -text
+documents/CareBand_Original_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/CareBand_Resubmission_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/CareCoach_Original_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/Corticometrics_Original_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/Corticometrics_Resubmission_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/Crossroads_Consulting_Full_Application.pdf filter=lfs diff=lfs merge=lfs -text
+documents/R43-Sample-Application_Andrew-Hemmert.pdf filter=lfs diff=lfs merge=lfs -text
+documents/product-led-growth.pdf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,12 +1,6 @@
 ---
-title: Sbir Consultant
-emoji: 👀
-colorFrom: yellow
-colorTo: blue
+title: sbir-consultant
+app_file: main.py
 sdk: gradio
 sdk_version: 4.4.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

documents/2r44ai093289-02a1_lochhead_0.pdf

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+size 3958141

documents/CareBand_Original_Full_Application.pdf

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+size 8806240

documents/CareBand_Resubmission_Full_Application.pdf

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+size 1902422

documents/CareCoach_Original_Full_Application.pdf

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+size 2582513

documents/Corticometrics_Original_Full_Application.pdf

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documents/Corticometrics_Resubmission_Full_Application.pdf

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documents/Crossroads_Consulting_Full_Application.pdf

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documents/R43-Sample-Application_Andrew-Hemmert.pdf

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+size 5435207

documents/product-led-growth.pdf

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+oid sha256:18ab7976d68da851c845d0b6f304e80cd5f70532e206842e2ae1a805d7590116
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main.py

@@ -0,0 +1,62 @@
+from dotenv import load_dotenv
+load_dotenv()
+import os
+
+import gradio as gr
+import time
+
+from openai import OpenAI
+
+client = OpenAI()
+
+
+directory = './documents'
+file_ids = []
+for filename in os.listdir(directory):
+    if filename.endswith(".pdf"):  # Assuming you're only interested in PDF files
+        file_path = os.path.join(directory, filename)
+        with open(file_path, 'rb') as file:
+            uploaded_file = client.files.create(file=file, purpose='assistants')
+            file_ids.append(uploaded_file.id)
+
+assistant = client.beta.assistants.create(
+    instructions="You are an expert consultant for SBIR grant proposals. Your retrievable files include SBIR proposal guidelines as well as several real SBIR grant applications you can use as examples to guide the user.",
+    model="gpt-4-1106-preview",
+    tools=[{"type": "retrieval"}],
+    file_ids=file_ids
+)
+
+thread = client.beta.threads.create()
+
+def chat(prompt):
+    message = client.beta.threads.messages.create(
+      thread_id=thread.id,
+      role="user",
+      content=prompt
+    )
+    run = client.beta.threads.runs.create(
+      thread_id=thread.id,
+      assistant_id=assistant.id,
+    )
+    while run.status != "completed":
+      time.sleep(0.1)
+      run = client.beta.threads.runs.retrieve(
+        thread_id=thread.id,
+        run_id=run.id
+      )
+    
+    messages = client.beta.threads.messages.list(
+      thread_id=thread.id
+    )
+    return messages.data[0].content[0].text.value
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=chat,
+    inputs="text",
+    outputs=gr.Markdown(),
+    title="💬 SBIR Consultant",
+    description="🚀 An SBIR Grant Application Consultant"
+)
+
+iface.launch()

requirements.txt

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+openai
+gradio
+python-dotenv